Africa - Central Africa - Sahel Africa - South Asia - East Siberia Asia - Indonesia Asia - North Central Asia - South Central Asia and China Australia Europe Global - Land North America - Alaska and Northern Canada North America - Central America North America - Eastern United States North America - Southern Canada North America - Western United States South America - Amazon South America - Southeast South America - Southwest

	Download Data	Period Mean (original grids) [W m-2]		Bias [W m-2]	RMSE [W m-2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	409.
CLM50	[-]	409.		-0.262	8.29	5.07		0.504	0.439	0.122	0.376
CTSM51	[-]	409.		-0.262	8.29	5.07		0.504	0.439	0.122	0.376
DeadVeg	[-]	414.		4.69	7.67	5.57		0.555	0.443	0.0316	0.368

	Download Data	Period Mean (original grids) [W m-2]		Bias [W m-2]	RMSE [W m-2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	377.
CLM50	[-]	385.		8.30	15.3	1.02		0.790	0.708	0.932	0.784
CTSM51	[-]	385.		8.30	15.3	1.02		0.790	0.708	0.932	0.784
DeadVeg	[-]	372.		-4.14	9.16	1.03		0.889	0.773	0.930	0.842

	Download Data	Period Mean (original grids) [W m-2]		Bias [W m-2]	RMSE [W m-2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	358.
CLM50	[-]	353.		-4.87	11.9	1.03		0.849	0.701	0.930	0.796
CTSM51	[-]	353.		-4.87	11.9	1.03		0.849	0.701	0.930	0.796
DeadVeg	[-]	352.		-6.45	8.32	0.983		0.805	0.852	0.937	0.862

	Download Data	Period Mean (original grids) [W m-2]		Bias [W m-2]	RMSE [W m-2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	247.
CLM50	[-]	233.		-13.9	23.1	0.00		0.767	0.713	1.00	0.798
CTSM51	[-]	233.		-13.9	23.1	0.00		0.767	0.713	1.00	0.798
DeadVeg	[-]	221.		-25.3	29.6	0.00		0.620	0.691	1.00	0.750

	Download Data	Period Mean (original grids) [W m-2]		Bias [W m-2]	RMSE [W m-2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	419.
CLM50	[-]	416.		-2.84	6.09	6.05		0.522	0.275	7.41e-05	0.268
CTSM51	[-]	416.		-2.84	6.09	6.05		0.522	0.275	7.41e-05	0.268
DeadVeg	[-]	414.		-4.65	8.45	5.03		0.345	0.242	0.0717	0.225

	Download Data	Period Mean (original grids) [W m-2]		Bias [W m-2]	RMSE [W m-2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	282.
CLM50	[-]	281.		-0.966	16.3	0.00		0.789	0.735	1.00	0.815
CTSM51	[-]	281.		-0.966	16.3	0.00		0.789	0.735	1.00	0.815
DeadVeg	[-]	276.		-6.20	7.95	0.00		0.852	0.846	1.00	0.886

	Download Data	Period Mean (original grids) [W m-2]		Bias [W m-2]	RMSE [W m-2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	279.
CLM50	[-]	293.		14.2	19.2	0.517		0.787	0.818	0.965	0.847
CTSM51	[-]	293.		14.2	19.2	0.517		0.787	0.818	0.965	0.847
DeadVeg	[-]	275.		-3.69	11.0	0.517		0.847	0.885	0.965	0.895

	Download Data	Period Mean (original grids) [W m-2]		Bias [W m-2]	RMSE [W m-2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	359.
CLM50	[-]	354.		-4.91	16.2	0.727		0.660	0.667	0.948	0.735
CTSM51	[-]	354.		-4.91	16.2	0.727		0.660	0.667	0.948	0.735
DeadVeg	[-]	349.		-9.92	15.6	0.588		0.619	0.748	0.952	0.767

	Download Data	Period Mean (original grids) [W m-2]		Bias [W m-2]	RMSE [W m-2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	311.
CLM50	[-]	309.		-2.08	17.0	0.204		0.716	0.669	0.986	0.760
CTSM51	[-]	309.		-2.08	17.0	0.204		0.716	0.669	0.986	0.760
DeadVeg	[-]	300.		-11.0	15.2	0.251		0.674	0.767	0.983	0.798

	Download Data	Period Mean (original grids) [W m-2]		Bias [W m-2]	RMSE [W m-2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	312.
CLM50	[-]	311.		-0.497	16.0	0.431		0.741	0.709	0.955	0.779
CTSM51	[-]	311.		-0.497	16.0	0.431		0.741	0.709	0.955	0.779
DeadVeg	[-]	305.		-7.07	14.1	0.361		0.726	0.767	0.964	0.806

	Download Data	Period Mean (original grids) [W m-2]		Bias [W m-2]	RMSE [W m-2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	249.
CLM50	[-]	245.		-3.92	17.2	0.00		0.928	0.765	1.00	0.864
CTSM51	[-]	245.		-3.92	17.2	0.00		0.928	0.765	1.00	0.864
DeadVeg	[-]	236.		-13.8	17.6	0.00		0.766	0.788	1.00	0.835

	Download Data	Period Mean (original grids) [W m-2]		Bias [W m-2]	RMSE [W m-2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	409.
CLM50	[-]	417.		8.41	8.64	1.02		0.297	0.597	0.933	0.606
CTSM51	[-]	417.		8.41	8.64	1.02		0.297	0.597	0.933	0.606
DeadVeg	[-]	413.		4.89	5.36	2.03		0.494	0.654	0.749	0.637

	Download Data	Period Mean (original grids) [W m-2]		Bias [W m-2]	RMSE [W m-2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	312.
CLM50	[-]	310.		-2.11	14.1	0.111		0.832	0.810	0.993	0.861
CTSM51	[-]	310.		-2.11	14.1	0.111		0.832	0.810	0.993	0.861
DeadVeg	[-]	304.		-8.59	14.6	0.111		0.796	0.841	0.993	0.868

	Download Data	Period Mean (original grids) [W m-2]		Bias [W m-2]	RMSE [W m-2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	266.
CLM50	[-]	268.		2.41	10.2	0.00		0.930	0.825	1.00	0.895
CTSM51	[-]	268.		2.41	10.2	0.00		0.930	0.825	1.00	0.895
DeadVeg	[-]	260.		-6.00	9.79	0.00		0.889	0.857	1.00	0.901

	Download Data	Period Mean (original grids) [W m-2]		Bias [W m-2]	RMSE [W m-2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	302.
CLM50	[-]	301.		-0.812	18.8	0.332		0.654	0.671	0.978	0.743
CTSM51	[-]	301.		-0.812	18.8	0.332		0.654	0.671	0.978	0.743
DeadVeg	[-]	305.		2.93	16.0	0.185		0.695	0.649	0.988	0.745

	Download Data	Period Mean (original grids) [W m-2]		Bias [W m-2]	RMSE [W m-2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	415.
CLM50	[-]	415.		-0.290	6.68	5.04		0.610	0.353	0.169	0.371
CTSM51	[-]	415.		-0.290	6.68	5.04		0.610	0.353	0.169	0.371
DeadVeg	[-]	413.		-2.49	4.72	1.01		0.626	0.559	0.835	0.645

	Download Data	Period Mean (original grids) [W m-2]		Bias [W m-2]	RMSE [W m-2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	365.
CLM50	[-]	371.		6.53	10.9	0.983		0.793	0.735	0.937	0.800
CTSM51	[-]	371.		6.53	10.9	0.983		0.793	0.735	0.937	0.800
DeadVeg	[-]	365.		0.855	3.38	0.983		0.970	0.889	0.937	0.921

	Download Data	Period Mean (original grids) [W m-2]		Bias [W m-2]	RMSE [W m-2]	Phase Shift [months]		Bias Score [1]	RMSE Score [1]	Seasonal Cycle Score [1]	Overall Score [1]
Benchmark	[-]	318.
CLM50	[-]	330.		12.0	15.9	0.983		0.718	0.685	0.937	0.756
CTSM51	[-]	330.		12.0	15.9	0.983		0.718	0.685	0.937	0.756
DeadVeg	[-]	320.		1.70	11.2	0.983		0.954	0.720	0.937	0.833

Africa - Central Africa - Sahel Africa - South Asia - East Siberia Asia - Indonesia Asia - North Central Asia - South Central Asia and China Asia - Southeast Asia and India Asia - West Siberia Australia Europe Global - Land Middle East and Sahara North America - Alaska and Northern Canada North America - Central America North America - Eastern United States North America - Southern Canada North America - Western United States South America - Amazon South America - Southeast South America - Southwest Temporally integrated period mean Temporally integrated period mean bias Temporally integrated period mean bias score Temporally integrated period mean max month Temporally integrated mean phase shift Temporally integrated mean phase shift score Temporally integrated period mean rmse Temporally integrated period mean rmse score Spatially integrated regional mean cycle Spatially integrated regional mean detrended cycle Spatially integrated regional mean

  Title:

FluxNet Tower eddy covariance measurements (Tier 1)

  Version:

2015

  Institutions:

FluxNet, AmeriFlux, AfriFlux, AsiaFlux, ChinaFlux, Fluxnet-Canada, KoFlux, CarboAfrica, CarboEuropeIP, CarboItaly, CarboMont, GreenGrass, OzFlux-TERN, LBA, NECC, ICOS, TCOS-Siberia, and USCCC

  References:

Reichstein, M., D. Papale, R. Valentini, M. Aubinet, C. Bernhofer, A. Knohl, T. Laurila, A. Lindroth, E. Moors, K. Pilegaard, and G. Seufert (2007), Determinants of terrestrialecosystem carbon balance inferred from European eddy covarianceflux sites, Geophys. Res. Lett., 34, L01402, doi:10.1029/2006GL027880

Lasslop, G., M. Reichstein, D. Papale, A.D. Richardson, A. Arneth, A. Barr, P. Stoy, and G. Wohlfahrt (2010), Separation of net ecosystem exchange into assimilation and respiration using a light response curve approach: critical issues and global evaluation, Global Change Biology, 16, 187-208, doi:10.1111/j.1365-2486.2009.02041.x

Knauer, J., S. Zaehle, B.E. Medlyn, M. Reichstein, C.A. Williams, M. Migliavacca, M.G. De Kauwe, C. Werner, C. Keitel, P. Kolari, J.-M. Limousin, and M.-L. Linderson (2018), Towards physiologically meaningful water use efficiency estimates from eddy covariance data, Global Change Biology, 24(2), 694-710, doi:10.1111/gcb.13893

  Comment:

Fluxnet variable(s) used: LW_IN_F